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Home 2018 April PostgreSQL: Explain Group By ROLLUP with an example

PostgreSQL: Explain Group By ROLLUP with an example

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In this post, I am sharing a demonstration of PostgreSQL GROUP BY ROLLUP which we are using for data analytics purpose.

The data analytics is a huge area and there are hundreds of tools available in the market. OLTP System like PostgreSQL is not made for Data Analytics but supports medium level of data analytics on real-time data.

ROLLUP is generally used for analysis over hierarchical data like generating sub-total and grand-total.

Check the below example:

Create a table with sample data:

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CREATE TABLE tbl_ProductSales (ID INT, Product_Category CHARACTER VARYING, Product_Name CHARACTER VARYING, TotalSales INT);
 
INSERT INTO tbl_ProductSales
VALUES
(1,'Game','Mobo Game',200),(2,'Game','PKO Game',400)
,(3,'Fashion','Shirt',500),(4,'Fashion','Shorts',100);

Check the ROLLUP result:

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SELECT
Product_Category
,Product_Name
,SUM(TotalSales) AS TotalSales
FROM tbl_ProductSales
GROUP BY ROLLUP (Product_Category, Product_Name)
ORDER BY Product_Category, Product_Name

PostgreSQL Rollup

PostgreSQL: Multiple GROUP BY using GROUPING SETS in Single SQL Query

Apr 22, 2018Anvesh Patel
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Anvesh Patel
Anvesh Patel

Database Engineer

April 22, 2018 PostgreSQLAnvesh Patel, Data Analytics, database, database research and development, dbrnd, group by, GROUP BY ROLLUP, plpgsql, Postgres Query, postgresql, PostgreSQL Administrator, PostgreSQL Error, PostgreSQL Monitoring, PostgreSQL Performance Tuning, PostgreSQL Programming, PostgreSQL Tips and Tricks, ROLLUP
About Me!

I'm Anvesh Patel, a Database Engineer certified by Oracle and IBM. I'm working as a Database Architect, Database Optimizer, Database Administrator, Database Developer. Providing the best articles and solutions for different problems in the best manner through my blogs is my passion. I have more than six years of experience with various RDBMS products like MSSQL Server, PostgreSQL, MySQL, Greenplum and currently learning and doing research on BIGData and NoSQL technology. -- Hyderabad, India.

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